This repo contains some examples of how to use SPARQL to query the NVS vocab server
If you choose to work with pyhton please install the sparqlwrapper with this command:
pip install SPARQLWrapperCheck the examples in the folder ./pythonSPARQL
Alternatively you can work with the pykg2tbl library. This includes the previous one, but adds some convenience:
- removes the embedded sparql from your py code into separate files that support templated - generative patterns that avoid repeating yourself
- exports results to pandas dataframes for further analysis
- allows to test queries versus RDF dump files as well (not only remote SPARQL endpoints)
So, if this sounds like you, then go for this install:
pip install pykg2tblAnd check out these ipynb examples in the ./templated-queries folder:
| notebook | showcasing | used templates |
|---|---|---|
| 01-listing-collections-and-terms | some standard lookups of collections and terms within them | nsv-list-collections, nsv-listing, nsv-find |
| 02-eov-matching | how to use both the puv and iop crosswalks between EOV (A05) and applicable measurements (P01) | nsv-eov-to-usage_via-iop/puv |